Detection of Variable Length Signature Near-Duplicate Images

Ms.Jayshree N. Bedade, Prof.Bhale N. L.

Abstract


A variable length signature has been proposed for
NEAR-DUPLICATE images .Lengths of Images are different as
per their patches .Probabilistic centre symmetric local binary
method is define for describe appearance of each image patch
.Under different conditions in illuminations, resolutions, and so
on; NEAR-DUPLICATE images are generated by taking independent photos of the same object. Besides, they can be created
by modifying the original images using some transformations,
e.g. image rotation, scaling. To calculate the similarities between
two images we used earth mover distance algorithm. In many
applications such as postal automation, copyright protection,
etc, identifying near-duplicate images plays an important role.
Image representation and image similarity measurement, two
key issues are involved in image matching. Image representation
specifies how a machine sees an image. The matching process,
it is very important since a powerful image representation can
ease. Moreover, different image representations entail different
similarity measures. On the image representations and similarity
measures adopted in the literature. In this we find Similarities
and dissimilarities of Near Duplicate Images .It improve effectualness of variable length signature.

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References


C. Kim, Content-based image copy detection, Signal Process., Image

Commun., vol. 18, no. 3, pp. 169184, 2003

O. Chum, J. Philbin, M. Isard, and A. Zisserman, Scalable near identical

image and shot detection, in Proc. 6th ACM Int. Conf. Image Video Retr.,

, pp. 549556.

B. Wang, Z. Li, M. Li, and W.-Y. Ma, Large-scale duplicate detection for

web image search, in Proc. IEEE Int. Conf. Multimedia Expo,Jul. 2006,

pp. 353356

S. Todorovic and N. Ahuja, Region-based hierarchical image matching,

Int. J. Comput. Vis., vol. 78, no. 1, pp. 4766, 2008.

K. Mikolajczyk and C. Schmid, A performance evaluation of local

descriptors, IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 10 pp.

, Oct. 2005.

Y. Ke, R. Sukthankar, and L. Huston, Efficient near-duplicate detection

and sub-image retrieval, in Proc. ACM Int. Conf. Multimedia, 2004, pp.

D. Doermann, H. Li, and O. Kia, The detection of duplicates in document

image databases, Image Vis. Comput., vol. 16, nos. 1213,pp. 907920,

Y. Rubner, C. Tomasi, and L. J. Guibas, The earth movers distance as a

metric for image retrieval, Int. J. Comput. Vis., vol. 40, no. 2,pp. 99121,

S. Boltz, F. Nielsen, and S. Soatto, Earth mover distance on superpixels,

in Proc. 17th IEEE Int. Conf. Image Process., Sep. 2010, pp. 45974600

X. Wan, A novel document similarity measure based on earth movers

distance, Inf. Sci., vol. 177, no. 18, pp. 37183730, 2007.

S. Aksoy and R. M. Haralick, Probabilistic vs. geometric similarity

measures for image retrieval, in Proc. IEEE Int. Conf. Comput. Vis.

Pattern Recognit., Jun. 2000, pp. 357362.


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